\section{Introduction}
In this report, we examine different techniques of linear regression to create
a model to accurately predict total donations in dollars as a result of direct
mailing in order to maximize donations from the KDD Cup 1998 Data \cite{kdd_cup_data}. Evaluating these techniques are
important because they demonstrate how to improve the accuracy of the model
which results in better estimates to guide decisions for the future. 

% more motivation??

The remainder of this report is organized as follows. Section \ref{sec:flow}
explains the optimal flow we found to preprocess the data and create a model. Section
\ref{sec:methodology} explains the techniques used to prune and preprocess
data. Section \ref{sec:results} presents our results from these techniques
and our evaluation. Section \ref{sec:conclusion} concludes. 
